The C programming language
Co-array Fortran for parallel programming
ACM SIGPLAN Fortran Forum
Parallel Computer Architecture: A Hardware/Software Approach
Parallel Computer Architecture: A Hardware/Software Approach
Parallel Matrix Distributions: Have we been doing it all wrong?
Parallel Matrix Distributions: Have we been doing it all wrong?
Fast Address Translation Techniques for Distributed Shared Memory Compilers
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
High performance dynamic array structures
High performance dynamic array structures
A Parallel Numerical Library for UPC
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
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Unified Parallel C is a parallel language extension to standard C. Data in UPC are communicated through shared arrays, which are physically distributed. Thus, data regions have locality, or affinity, to particular threads of execution. This affinity concept engenders a non-uniformity in shared memory accesses by a particular thread. Affinity should be considered when building data structures in algorithms and applications, but UPC provides limited tools for data locality management. We propose the creation of an application support layer to support a wide variety of common data decompositions and programming idioms. We present here a first step for this layer with a selection of mapping functions and packages for numerical computation and dense matrix operations. These are driven by specific algorithms from linear algebra and numerical computation, and could be readily incorporated in such an application support layer.